?? Day 19 of 365: Python Data Structures (Lists, Tuples, Sets, and Dictionaries) ??

Hey everyone, it’s Day 19! ??

Welcome to Day 19 of our #365DaysOfDataScience journey! ??

Today, we’re going to dive into some core Python data structures — the tools we’ll use all the time in Data Science! We’re talking about lists, tuples, sets, and dictionaries. By the end of today, you’ll have a solid understanding of how to use each one to organize and manipulate data. Ready to explore together? Let’s go!

?? What We’ll Be Exploring Today:

1. Lists, Tuples, Sets, and Dictionaries??

???Each of these data structures has its strengths:

???- Lists are great for ordered collections of items.

???- Tuples are like lists but immutable (you can’t change them after they’re created).

???- Sets are for storing unique items.

???- Dictionaries use key-value pairs to store data (super handy when you need to map one thing to another).

2. Common Operations??

???We’ll explore how to create these data structures, add/remove elements, slice, index, and more. These operations will help us manipulate data efficiently as we move forward in our Data Science journey.

?? Learning Resources:

- Read: Chapter 3 from Python for Data Analysis by Wes McKinney.

- Watch: A quick YouTube tutorial on Python data structures. These videos make it easy to see how lists, tuples, sets, and dictionaries are used in action.

?? Today’s Task:

- Write a Python script that:

??1. Creates a list, tuple, set, and dictionary.

??2. Performs basic operations like adding, modifying, and removing elements from each of them.

??3. Try slicing and indexing lists and tuples, and work with key-value pairs in dictionaries.

This is a great way to experiment and get comfortable with the most common Python data structures. I’ll be writing my own script, too, and we can compare notes afterward!

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Extra Resources ??

Try this full course on Data Structures and Algorithms in Python by freeCodeCamp

>> https://youtu.be/pkYVOmU3MgA?si=BwiYfOfFJm-CPypM